Artificial intelligence and automation stand to upend nearly every aspect of modern life, from transportation to health care and even work. So how did we get here and where are we going? We live in an age of self-driving vehicles. Robots are working alongside us.. We rely on seemingly omniscient digital assistance. Advances in algorithms, sensors, and automation technology, stand to upend nearly every aspect of modern life from work
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Google’s Fei-Fei Li said that “Artificial Intelligence (AI) can understand a photo and write description” at Women in Data Science (WiDS) Conference 2017. It takes nature and evolution more than five hundred million years to develop a powerful visual system in humans. The journey for AI and computer vision is about fifty years. In this talk, Dr. Fei-Fei Li is briefly discussing the key ideas and the cutting edge advances in the
1.Superintelligence: Paths, Dangers, Strategies: Nick Bostrom 2.Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence: Jerry Kaplan 3.Artificial Intelligence: A Modern Approach (AIMA): Stuart J. Russell and Peter Norvig 4.Our Final Invention: Artificial Intelligence and the End of the Human Era: James Barrat 5.Surviving AI: The Promise and Peril of Artificial Intelligence: Calum Chace 6.Gödel, Escher, Bach: Douglas Hofstadter 7.Heartificial Intelligence: John C.
Google Artificial Intelligence (AI) Chief Scientist Professor Fei-Fei Li, Director at Stanford Artificial Intelligence Lab, talked about “Artificial Intelligence in Medicine” and how it could transform the workflow in healthcare and the way we diagnose, treat and prevent disease. I actually feel inadequate to be in this audience. I know very little about medicine. So I’m here to learn and interact with you. My talk title is “Guardian Angels: Towards Artificial Intelligence assisted
Dr Demis Hassabis, Co-founder and CEO of DeepMind, Vice President of Engineering at Google DeepMind drew on his eclectic experiences as an Artificial Intelligence researcher, neuroscientist and videogames designer to discuss what is happening at the cutting edge of Artificial Intelligence research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing Artificial Intelligence may help us better understand the
Thinking Machines: The Quest for Artificial Intelligence–and Where It’s Taking Us Next by Luke Dormehl A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already
Ghost in the Shell is an upcoming American science fiction crime drama film directed by Rupert Sanders and written by Jamie Moss, William Wheeler and Ehren Kruger, based on the Japanese manga of the same name by Masamune Shirow. The film stars Scarlett Johansson, Takeshi Kitano, Michael Pitt, Pilou Asbæk, Chin Han and Juliette Binoche. It will be released on March 31, 2017, in 2D, 3D and IMAX 3D. (wikipedia)
How about smiling with some comics on Artificial Intelligence and Robots?
The amount of information that we are creating is increasing at an incredible speed. Professor Maria Fasli, Professor in the School of Computer Science and Electronic Engineering and the Director of the Institute for Analytics and Data Science (IADS), is explaining how we are going to manage this amount of information? “This is the display interface of the Apollo 11 computers. This is the mission that took man to the moon. The
It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. Lecture 1: Introduction to Deep Learning and Self-Driving Cars *An overview of deep learning methods: Deep Reinforcement Learning, Convolutional Neural Networks, Recurrent Neural Networks *How deep learning can help improve each component